Skip to main content

Automatic Piecewise Linear Regression

Project description

The documentation for Automatic Piecewise Linear Regression is available at https://github.com/ottenbreit-data-science/aplr.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aplr-10.20.1.tar.gz (2.8 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

aplr-10.20.1-cp314-cp314t-win_amd64.whl (383.9 kB view details)

Uploaded CPython 3.14tWindows x86-64

aplr-10.20.1-cp314-cp314t-win32.whl (324.3 kB view details)

Uploaded CPython 3.14tWindows x86

aplr-10.20.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

aplr-10.20.1-cp314-cp314t-macosx_11_0_x86_64.whl (541.9 kB view details)

Uploaded CPython 3.14tmacOS 11.0+ x86-64

aplr-10.20.1-cp314-cp314t-macosx_11_0_arm64.whl (515.6 kB view details)

Uploaded CPython 3.14tmacOS 11.0+ ARM64

aplr-10.20.1-cp314-cp314-win_amd64.whl (357.6 kB view details)

Uploaded CPython 3.14Windows x86-64

aplr-10.20.1-cp314-cp314-win32.whl (308.0 kB view details)

Uploaded CPython 3.14Windows x86

aplr-10.20.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.1 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

aplr-10.20.1-cp314-cp314-macosx_11_0_x86_64.whl (526.5 kB view details)

Uploaded CPython 3.14macOS 11.0+ x86-64

aplr-10.20.1-cp314-cp314-macosx_11_0_arm64.whl (492.4 kB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

aplr-10.20.1-cp313-cp313-win_amd64.whl (347.5 kB view details)

Uploaded CPython 3.13Windows x86-64

aplr-10.20.1-cp313-cp313-win32.whl (301.3 kB view details)

Uploaded CPython 3.13Windows x86

aplr-10.20.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

aplr-10.20.1-cp313-cp313-macosx_11_0_x86_64.whl (526.1 kB view details)

Uploaded CPython 3.13macOS 11.0+ x86-64

aplr-10.20.1-cp313-cp313-macosx_11_0_arm64.whl (496.3 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

aplr-10.20.1-cp312-cp312-win_amd64.whl (347.4 kB view details)

Uploaded CPython 3.12Windows x86-64

aplr-10.20.1-cp312-cp312-win32.whl (301.3 kB view details)

Uploaded CPython 3.12Windows x86

aplr-10.20.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

aplr-10.20.1-cp312-cp312-macosx_11_0_x86_64.whl (526.0 kB view details)

Uploaded CPython 3.12macOS 11.0+ x86-64

aplr-10.20.1-cp312-cp312-macosx_11_0_arm64.whl (496.3 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

aplr-10.20.1-cp311-cp311-win_amd64.whl (345.1 kB view details)

Uploaded CPython 3.11Windows x86-64

aplr-10.20.1-cp311-cp311-win32.whl (300.0 kB view details)

Uploaded CPython 3.11Windows x86

aplr-10.20.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

aplr-10.20.1-cp311-cp311-macosx_11_0_x86_64.whl (522.4 kB view details)

Uploaded CPython 3.11macOS 11.0+ x86-64

aplr-10.20.1-cp311-cp311-macosx_11_0_arm64.whl (489.7 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

aplr-10.20.1-cp310-cp310-win_amd64.whl (344.6 kB view details)

Uploaded CPython 3.10Windows x86-64

aplr-10.20.1-cp310-cp310-win32.whl (299.4 kB view details)

Uploaded CPython 3.10Windows x86

aplr-10.20.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

aplr-10.20.1-cp310-cp310-macosx_11_0_x86_64.whl (520.9 kB view details)

Uploaded CPython 3.10macOS 11.0+ x86-64

aplr-10.20.1-cp310-cp310-macosx_11_0_arm64.whl (488.8 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

aplr-10.20.1-cp39-cp39-win_amd64.whl (345.2 kB view details)

Uploaded CPython 3.9Windows x86-64

aplr-10.20.1-cp39-cp39-win32.whl (299.5 kB view details)

Uploaded CPython 3.9Windows x86

aplr-10.20.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

aplr-10.20.1-cp39-cp39-macosx_11_0_x86_64.whl (520.9 kB view details)

Uploaded CPython 3.9macOS 11.0+ x86-64

aplr-10.20.1-cp39-cp39-macosx_11_0_arm64.whl (488.9 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

aplr-10.20.1-cp38-cp38-win_amd64.whl (344.4 kB view details)

Uploaded CPython 3.8Windows x86-64

aplr-10.20.1-cp38-cp38-win32.whl (299.3 kB view details)

Uploaded CPython 3.8Windows x86

aplr-10.20.1-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

aplr-10.20.1-cp38-cp38-macosx_11_0_x86_64.whl (520.3 kB view details)

Uploaded CPython 3.8macOS 11.0+ x86-64

aplr-10.20.1-cp38-cp38-macosx_11_0_arm64.whl (488.4 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

File details

Details for the file aplr-10.20.1.tar.gz.

File metadata

  • Download URL: aplr-10.20.1.tar.gz
  • Upload date:
  • Size: 2.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1.tar.gz
Algorithm Hash digest
SHA256 6c61c197ef3b88e111565b5b328e0e0abba196dd6d8861bb419cbafba0de44d9
MD5 527daeaa4118f0d090b0c3484e324971
BLAKE2b-256 bee3b3c5190c432310323ff9c69bdc195144e6e751b92bbec52fba3ed41d645a

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp314-cp314t-win_amd64.whl.

File metadata

  • Download URL: aplr-10.20.1-cp314-cp314t-win_amd64.whl
  • Upload date:
  • Size: 383.9 kB
  • Tags: CPython 3.14t, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp314-cp314t-win_amd64.whl
Algorithm Hash digest
SHA256 de26dea7793c45720c770aca2e31de1a3f848c72adbb58bd29edb4fafb41753d
MD5 e29f6ecb646d1c64a457f3e3096bc147
BLAKE2b-256 f6128032e7a7c6d538bf7cb6030a0f4b402c124778cd466759b7a841bbc8f757

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp314-cp314t-win32.whl.

File metadata

  • Download URL: aplr-10.20.1-cp314-cp314t-win32.whl
  • Upload date:
  • Size: 324.3 kB
  • Tags: CPython 3.14t, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp314-cp314t-win32.whl
Algorithm Hash digest
SHA256 a3c2cb14f5358b1e35a040a0be2feeb112825e5f99de3c74f5e6c1f3c71ecc78
MD5 ab7bd79d7b75721e3c7d9b95818895ca
BLAKE2b-256 87b667b1246b9192914c44c72b4a8c386c62812299bc2c9f30e0d932faec612e

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 647445f70f092f3c8f3b0a9fdd5e15538494f6b9493aac71997d089f7221cd8d
MD5 1d0e9ebee202257a29364aa5f670231e
BLAKE2b-256 f29a6827287e7d679a6110efe27fa9ffbad5e25ad7e91cdf5d7ba9bfabcb90c2

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp314-cp314t-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp314-cp314t-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 bf481b284b89ad5fe5559ffa3197dbfc7718b2ec83fbbff9fe53ed2901c536b2
MD5 73ac63db2658932c2b9ff50b1b44bac9
BLAKE2b-256 a8555116656a06fda9054a3285f3946cc7ae91d9d4d23e5e5065f49368685f28

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp314-cp314t-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp314-cp314t-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f8dfe4cb19bd54b7d95cfc3e4e3a910e66be70b924de3d43a4c126f0e000a307
MD5 f4143bb1c7869984b911634d28ff579e
BLAKE2b-256 0a699a542b034367e9531fd718884aa2b8401b87b2880ac11599eb49faf79b98

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: aplr-10.20.1-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 357.6 kB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 4b4abf5ee5270f86ce2466843c27af7de8d0522d552174fbb314b13b8a906d21
MD5 d4c624f13d36371ce81ffe1652848380
BLAKE2b-256 5edb5494117484963def097c0ca65af28c3f8627665dd62af55de9bf30e73b9a

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp314-cp314-win32.whl.

File metadata

  • Download URL: aplr-10.20.1-cp314-cp314-win32.whl
  • Upload date:
  • Size: 308.0 kB
  • Tags: CPython 3.14, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp314-cp314-win32.whl
Algorithm Hash digest
SHA256 f199c0304ea15e5625e97fa9faaf8bd4b031607c5c502a8eb1fedf8c3ef46c7b
MD5 108142d0d960a9e146140313b459ceca
BLAKE2b-256 e19ffdac4720a641743c54c569eca3848b28e9db45643fed38f037b5ec5a7637

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d96fab676d83ddac11a24f8496024d207870b14b9d1b0994bc1ae79d088817ab
MD5 656cd70d508bc23ff7486dafac276d2a
BLAKE2b-256 70b3b53b6f9c9fa3486f8ebee624de0d85d93deb6c7788ffaff59d1b13796af0

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp314-cp314-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp314-cp314-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 efeba87240a751e65ae9ad33be81e658438c95ec466ac6b4d5c4f01e8db9e6cf
MD5 b53cc97bb222d92811b8d762b09d5082
BLAKE2b-256 0198cc0c1a93ba56c9d90ec976003885ce5d597ada30b90430d881099ef5ca5c

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 668c9dcf9e6801ddf893fd9ca9041d9ce7608f72f0c2ba55a7c1f7be9fdb4f28
MD5 4f487fdcb95cba604152232a76a57db0
BLAKE2b-256 9d6f6f236c3b92eb934fc5756951a535f106daa7437fbfd05aa9b64bcb04fcb9

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: aplr-10.20.1-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 347.5 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 ed0a066587d57d8a3d2c0dbb3a162047855f96315d338b675e99910d34e8e475
MD5 a748a62ee424bb1a967c6223f1d63509
BLAKE2b-256 36aa454f38d60063e4574bf5caaf5c201d6639f37b710cb85da566eda72ed85f

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp313-cp313-win32.whl.

File metadata

  • Download URL: aplr-10.20.1-cp313-cp313-win32.whl
  • Upload date:
  • Size: 301.3 kB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 fba2fe0a86dc0c5dc04fb377281fd1438f16735e96e5d89258194b1807129385
MD5 235ee112ab0fd78766e3100cd4c428fb
BLAKE2b-256 b40d80edded16c2bc28bac298c1fe6a8e07365517136481d5eef71eb81fe562d

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d5e13d5cb4c242a71858cbb9f5aca4ce41136b85c3ce8c3813a34f5ddb163edc
MD5 158c3a5748a579a1a36ea6df3844704c
BLAKE2b-256 46aaf8aa1fa0af3e664b95721d5cb5ec935067b82c7a402e4deaee2fbbb5fd83

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp313-cp313-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp313-cp313-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 34e9a7111df454965dda7fd48b30a9e71d48ad2878f26780988849eb2300bf45
MD5 25df3f3f795cb1c7a9298f2cfba8ecfe
BLAKE2b-256 58587ac98e0f76fe357aa00cae1c27093ccbf97115910b5d4673aa37c56e9f00

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 db59a6141de5786722b94396df6d8fbb7d436ba719ec2de14d164f7911763586
MD5 8e2b67cbd08f1ec9b1f8946d431a9751
BLAKE2b-256 5b07c607bc730034ec13f414edebb36c6d6c59a9a86cccffa444f0da97111beb

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: aplr-10.20.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 347.4 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 313b1eef73068e3ef825527b0870bf63052c1036cedfb543089a4ecafdbbacca
MD5 fc623716ec33c616ea626cce58414bf4
BLAKE2b-256 89bf53e2e443f06c0b1dec6fbbd8f161b09c15bbd412a436fee3f7e54613e77a

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp312-cp312-win32.whl.

File metadata

  • Download URL: aplr-10.20.1-cp312-cp312-win32.whl
  • Upload date:
  • Size: 301.3 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 f3807169f88216fc45e8ccdf013adea6c29a2ef600dd9d299cf14788eefa1c40
MD5 b6fa4766af907947b7eaecb1446c2002
BLAKE2b-256 b2c76d5985d3991a5c7923dbbc8fa8d8ee06a7841cc0cd7f6f39535dceab031e

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 2bfc710a185f62b3848fb6259787a343534ccc8b984523047d51e35608b13aa5
MD5 ad8ad15552d6f2e204161d2338d8de51
BLAKE2b-256 faaf54280c60819cff7d3807529d0dd6390470c6a5f777754a0e5f36e937fc5a

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp312-cp312-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp312-cp312-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 113b21702c58ba5b61e9b76239ce3433664375d4ec603192a39a3c7623094876
MD5 ac2043982af0d8dab4c63e86cfd145b6
BLAKE2b-256 6117f267ff2e51b316e9d878dbdac7878d89384fcf0ac59d565c5800d4f375b0

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cb8dba26e706326886ae098d86d58a38831c18ed106fb30b34550f1a03e012c4
MD5 e9a980d93c2337b635d560cd318a55b3
BLAKE2b-256 5d23456da440c4db62d4e177d40d448a217595c34a46bb762bc8a8cba97d0d64

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: aplr-10.20.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 345.1 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 ba179d2f0fa940193409765ac4dbd01f78575d30f593a6eb0156c308224ee651
MD5 7dbe8201b53dfcf9860ee4b74fe77d8b
BLAKE2b-256 59ff0a3862d01da75f9711f975408183d145088b6f8c54fb47dfb24b345d155f

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp311-cp311-win32.whl.

File metadata

  • Download URL: aplr-10.20.1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 300.0 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 0745488738003d2292a9324b8f62d98a1ecec22a75d651b1bbfe636d47c3ac79
MD5 67391c247f343735af9663a38fa3a593
BLAKE2b-256 86d1a1f5edd07b1026d8e112a9a8900d2905ec9c15828a98d74784a89bd72d25

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 02b66d7eb2398d55f5d73cf21d2b248c94d2102f97f14213f2bcf2e7ad99e090
MD5 8332d0d79870ea3201586f7b3aca3c01
BLAKE2b-256 1134baf321c9a597ca41ca224fb995d10bb884a372dad7719dc746afb59072cf

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp311-cp311-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 7a9ec9f0633f387f2e4233c2e303ef9b754ebc91077d35f7a3c6701d296b4933
MD5 e96af81d98313cd3ccbcfbb5d7231d80
BLAKE2b-256 7819b00f8048dd08a11fd2151adcdd985d6d530e7f3764ed836a3fa6258760c9

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3a93bf8675baada2244ac70195d670014a717bf7a9005cb3521973d173e2476a
MD5 64f202c77dce20d79d6dd22ebd030e67
BLAKE2b-256 c120614e18ee30651756f04aad6aef743fa643e856408ea377eb71c6fe913469

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: aplr-10.20.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 344.6 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 47fea252df9f5f33df3addabe7399bac18dce908fb8fb082ed288eccfc951d60
MD5 1c213873d71eddefa2b54cc7634bfc63
BLAKE2b-256 ebfe2b2e9861ce034bc61fc6d7206eb4fe0a3c58e9b35785c22a37cc6c0f8386

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: aplr-10.20.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 299.4 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 e71af0537d4a0790c4b3d09469c6f5d03299ecc70be02992270af1dedf3a5e55
MD5 5bfc2a90482aac4581844f41d1def708
BLAKE2b-256 db2669658b2f361e1c6ce7c836c94591c61313cd51f4d53ff52ff9dc5cfee1ae

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e183a8a6b7ab43bb613c242f3e76eaeb4da51957f5c04ca30ca091541e586578
MD5 dfe4693c9bcd8afe0b13600b7a2b94db
BLAKE2b-256 d7606670233f119d0fd0f49d927de0865edfcc1e4826cfec45e41f74b566b66f

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 0f99e1e2ac51500460e9ffc17f13d8ab41c6c75ead507aaaee116b0147514094
MD5 2b283b16af8de8d20163494c8cfb25d3
BLAKE2b-256 cd791b2e915c93ece8f2c7253a01903af4ea18567bcedfe2eed01eca5f8f6de0

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9632a53685f4429b924e4b3d84378af92d50bb3225cf10b49a9111477a55bb09
MD5 a371b0f9f671492897776e74c85a104d
BLAKE2b-256 9e6243a7c9d66f0e7628696f1c83894ef485527bc4bfd4434b20a6d06721ac24

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: aplr-10.20.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 345.2 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3457149614afa63dcd8edc0b823cdb3bd970fc505af644e2659ad6e2e6106405
MD5 ba7b61384e5b6c2a6b424cb6fdd9b594
BLAKE2b-256 fddeae49e304a3c46756a75743f2e88c25d9e9a7fc4fdac66053aa5123e6777f

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: aplr-10.20.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 299.5 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 3c7c1a499f6f141b45482b7741a4bbe5d1693786b46a9e52391c2914843a69f6
MD5 a572e7558af94438d166917289971e92
BLAKE2b-256 4c4becf40343c5b26eae44604d12bd4247ead7a35645fc2f15e953bf77b32479

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 93a8b27c0b5a5a1cadc86fe2d11b7e004a7415f8583554756808448dbd74005c
MD5 f21b627a8436726629671c3439f566f6
BLAKE2b-256 8acd32cea738b6930e5e8add808b208412cfef9548ca0d08377aa0d73906e955

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 a420555e944428463f9979837e8cade7350d3dbc157597227160cff9c68c7f1c
MD5 edd94104fde8bad75cfbf7590df260d9
BLAKE2b-256 da7936560702fc3b52037381996869c1a389c7719f91f15c2d8240fcd0865cfc

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 303e4dc57d80ab41d9bb7faac9dffb65d811e9c0d5c36fb6fb573bc946a95932
MD5 f074d15e6d11d8bad9915fecddd2120d
BLAKE2b-256 8fb0555da161b4cd5e9d675ff0f0f14552abf06d8a90ada8d112c9f15ee74aca

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: aplr-10.20.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 344.4 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 1fde17bb3c3083f20be24e27bd8dbf75f2df263397688d20f93e6970f44ef3ad
MD5 ede86d8e0aaf02dfcdafb32b0d4fe346
BLAKE2b-256 3bafbb2f3cafccfef96c9e836ee1e37c70229a0f54404d87e81bd83d6d0805a8

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: aplr-10.20.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 299.3 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aplr-10.20.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 a78b06b5c49007389626fd4a83b95294f1c58cf6221ac136c915e635a454340a
MD5 c6c0fc7b3b27648aad7c5dae933f19cf
BLAKE2b-256 ed6835f2253ecc7865ddaa0399c7e359d09cb124b79d181e9fa7259546ac593d

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 645a07c41d07c77cfa8f5e0228f41103779e6843648638e7d146acd1548eb5e2
MD5 51dcd41e0d794ee011895d3486f95782
BLAKE2b-256 b03a963451b4e835543cf3de35d53bbd95728e8f1acf71134e96a6bbaa12aef6

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 433aebd278c18e380ddf44e171e9ecf7e9a4365f09c8ba6853a215ed4961e80e
MD5 f02a708243036454737cfa872fcaea2a
BLAKE2b-256 31d221d0994ec0dd8971a0731cb28dede2f47a7b572a8344c7619a7a065eef86

See more details on using hashes here.

File details

Details for the file aplr-10.20.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for aplr-10.20.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5501e668406fed9e5de645625a9d6b2fac3f0f57c186b40f0f88d7bbacaed174
MD5 576e977eb6050cc6d3dbfc30784f8640
BLAKE2b-256 e197cc1754ddf4219a2c306b392ab33e6df3927057d6400883844357f635dc28

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page